A code-focused model running as a 4-bit quantized version of Qwen3's 30B parameter mixture-of-experts architecture, activating roughly 3B parameters per forward pass. It handles very long contexts — up to 262K tokens — making it capable of reasoning across large codebases in a single pass. The quantization keeps memory footprint low, though with some fidelity trade-offs compared to full-precision weights.